code: def model_creator_pytorch(config):
      """
      Pytorch customized model creator
      """
      CustomizedNet = gen_CustomizedNet()
      return CustomizedNet(
          dropout=config["dropout"],
          input_size=config["past_seq_len"],
          input_feature_num=config["input_feature_num"],
          hidden_dim=config["hidden_dim"],
          output_size=config["output_feature_num"],
      )
  
imports: from unittest import TestCase
  import pytest
  from bigdl.chronos.utils import LazyImport
  import numpy
  from bigdl.chronos.data import TSDataset
  import pandas
  from ..None import op_torch, op_tf2, op_distributed, op_inference
label_desc: Use image node_id 5 for calling a global function with example usage: model_creator_pytorch(config) and returns: CustomizedNet